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wn(), ar1(), rw(),
pl(), flicker(), and matern(),
and independent components can be combined with +.gmwm2() for fitting stochastic models directly
from a time series by matching empirical and theoretical wavelet
variances. The returned gmwm2_fit objects include print and
plot methods.gmwmx2() as an S3 generic. It now supports
both the GNSS workflow for gnss_ts_ngl objects and a
generic regression interface gmwmx2(X, y, model, ...) for
arbitrary design matrices and response vectors, including responses with
missing observations.stochastic_model = "wn + pl" to model objects such as
model = wn() + pl() or
model = wn() + flicker(). GNSS fit objects now use class
gmwmx2_fit_gnss_ts_ngl and have updated print and plot
methods.generate() methods
for single stochastic models, composite stochastic models, and two-state
Markov missingness models created with
markov_two_states().RcppExports.longmemo dependency and pkgdown website URL.download_all_stations_ngl,
download_estimated_velocities_ngl and
download_station_ngl so that it exit gracefully if NGL
server is not reachable.download_all_stations_ngl,
download_estimated_velocities_ngl and
download_station_ngl with new address of the NGL:
https://geodesy.unr.edu and using httr2.first version
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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